{"id":1926917,"url":"https://alion.io/job/lockheed-martin-aai-machine-learning-engineering-e2-3","title":"A/AI Machine Learning Engineering - E2","company":{"id":37086,"name":"Lockheed Martin","domain":"lockheedmartin.com","url":"https://alion.io/company/lockheedmartin","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"A","score":99,"open_postings":92,"ghost_share":0,"stale_share":0,"repost_share":0.043,"time_to_fill_p50_days":26,"computed_at":"2026-10-07T05:47:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":101400,"max":188200,"currency":"USD","period":"year","gross":null,"usd_annual":188200},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Cline","optional":false},{"name":"Cursor","optional":false},{"name":"Devin","optional":false},{"name":"Function Calling","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"Tool Use","optional":false},{"name":"TypeScript","optional":false},{"name":"AI Agents","optional":true},{"name":"AWS","optional":true},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-09-30T19:37:43Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-08T01:50:13Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Standard Job Description\nResponsible for developing, integrating, and deploying autonomy and artificial intelligence algorithms for mission systems, supporting the technology development life cycle from requirements generation through development, integration, and testing, as well as research in some organizations.Develops, integrates, and implements algorithms to enable perception, motion/mission planning, controls, etc. functionality in LM products and platforms; Translates requirements and applies requirements to development code, integrating autonomy, AI or machine learning algorithms to LM products and platforms; Determines software methods to best acquire and execute knowledge; Implements algorithms into software to train systems to recognize patterns and perform specific functions; Responsible for various phases of developing and maintaining autonomy software from requirements generation, software design and development to integration, testing, troubleshooting and debugging, and implementation; Review test outcomes, conducts troubleshooting, and works to debug issues; Develops human-machine interface scenarios, breaking missions into tasks; Documents interface requirements and implements human-machine interfaces\nBasic Qualifications\nProgramming and software integration - Foundational programming experience in Python, TypeScript, or comparable languages, with the ability to learn established development tools and workflows.\n\nGenerative AI fundamentals - Understands core generative AI concepts and has applied them in simple use cases.\n\nAI application and workflow integration - Wraps generative AI prompts within applications or workflows to automate tasks such as text generation or data analysis.\n\nAI tool calling / MCP integration - Designs simple integrations between AI assistants and applications or APIs; understands authentication and authorization for tool calling.\n\nAI-enabled development accelerators (e.g., Cursor, Devin, Cline, Jiminy) - Configures and uses AI-enabled development accelerators to automate tasks, generate code, or improve workflows; has applied them to small projects or proof-of-concepts.\n\nDesired Skills\nAI agentic frameworks - Designs and implements simple agent-based systems and integrates agentic frameworks with related technologies.\nDocument processing for LLM consumption - Processes documents for LLM consumption and integrates document processing with related AI tasks.\nLM Navigator - Uses it occasionally for specific tasks.\nGenesis - Uses it occasionally for specific tasks.\nExperience with AI meeting summarizers.\nFamiliarity with AWS cloud services or AWS AI/ML tooling is a plus.\nPay Information\nGeoZone Definition: GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost-of-labor differences across the United States. Locations are assigned a Geo Zone based on the primary work location of the role.\nFull-time salary range (GEOZONE 1): $101400.00 - $188200.00 Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc.\n\nFull-time salary range (GEOZONE 2): $91200.00 - $169400.00 Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.\n\nFull-time salary range (GEOZONE 3): $81100.00 - $150500.00Includes metropolitan areas such as Dallas-Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.\n\nFull-time salary range (GEOZONE 4): $72900.00 - $135500.00Includes metropolitan areas such as Camden, AR; Lexington, KY; Lufkin, TX; etc. \n\nAt Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally.\nThe salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only.\nLockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.\nBenefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.\nAnnual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.\nFor (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. 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